Maximum-stopping-value policies in finite markov population decision chains
B. Curtis Eaves; Arthur F. Veinott Jr.
| Year of publication: |
2014
|
|---|---|
| Authors: | Eaves, Burchett Curtis ; Veinott, Arthur F. <Jr.> |
| Published in: |
Mathematics of operations research. - Catonsville, MD : INFORMS, ISSN 0364-765X, ZDB-ID 195683-8. - Vol. 39.2014, 3, p. 597-606
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| Subject: | Markov population decision chains | infinite horizon | finite state and action | stationary optimal stopping policies | optimal return operator | least fixed points | policy improvement | successive approximation | linear programming | Theorie | Theory | Markov-Kette | Markov chain | Mathematische Optimierung | Mathematical programming |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10010402972